NOTICE: Scitation Maintenance Sunday, March 1, 2015.

Scitation users may experience brief connectivity issues on Sunday, March 1, 2015 between 12:00 AM and 7:00 AM EST due to planned network maintenance.

Thank you for your patience during this process.

banner image
No data available.
Please log in to see this content.
You have no subscription access to this content.
No metrics data to plot.
The attempt to load metrics for this article has failed.
The attempt to plot a graph for these metrics has failed.
The full text of this article is not currently available.
Evaluation of smartphone sound measurement applicationsa)
a) The findings and conclusions in this report are those of the authors and do not necessarily represent the views of the National Institute for Occupational Safety and Health. Mention of any company or product does not constitute endorsement by NIOSH.
Rent this article for
Access full text Article
1. ANSI (1983). ANSI S1.4-1983, Specification for Sound Level Meters (American National Standards Institute, New York) [1983 (R2007)].
2.European Environment Agency. (2013). (Last viewed June 23, 2013).
3. Kanhere, S. S. (2013). “ Participatory sensing: Crowdsourcing data from mobile smartphones in urban spaces,” in Distributed Computing and Internet Technology (Springer, Berlin), pp. 1926.
4. Kanjo, E. (2010). “ NoiseSPY: A real-time mobile phone platform for urban noise monitoring and mapping,” Mobile Networks Appl. 15(4), 562574.
5. Maisonneuve, N. , and Matthias, N. (2010). “ Participatory noise pollution monitoring using mobile phonesInf. Polity 15, 5171.
6. Maisonneuve, N. , Mattias, S. , Nissen, M. E. , Hanappe, P. , and Steels, L. (2009). “ Citizen noise pollution monitoring,” in Proceedings of the 10th Annual International Conference on Digital Government Research: Social Networks: Making Connections between Citizens, Data and Government, Digital Government Society of North America, pp. 96103.
7.Nielsen. (2013). Mobile Majority: U.S. smartphone ownership tops 60%.–u-s–smartphone-ownership-tops-60-.html (Last viewed June 23, 2013).
8. Sieber, W. K. (1991). “ Development, use, and availability of a job exposure matrix based on national occupational hazard survey data,” Am. J. Ind. Med. 20(2), 163174.

Data & Media loading...


Article metrics loading...



This study reports on the accuracy of smartphone sound measurement applications (apps) and whether they can be appropriately employed for occupational noise measurements. A representative sample of smartphones and tablets on various platforms were acquired, more than 130 iOS apps were evaluated but only 10 apps met our selection criteria. Only 4 out of 62 Android apps were tested. The results showed two apps with mean differences of 0.07 dB (unweighted) and −0.52 dB (A-weighted) from the reference values. Two other apps had mean differences within ±2 dB. The study suggests that certain apps may be appropriate for use in occupational noise measurements.


Full text loading...

This is a required field
Please enter a valid email address
752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Evaluation of smartphone sound measurement applicationsa)